Evidence map›Paper›PMID 22885355›Full record

ArticleBiochimica et biophysica acta2012

Does cholesterol suppress the antimicrobial peptide induced disruption of lipid raft containing membranes?

Austin J McHenry, Michele F M Sciacca, Jeffrey R Brender, Ayyalusamy Ramamoorthy

Abstract read
In one paragraph

Article in Biochimica et biophysica acta, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Austin J McHenryBiophysics and Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109-1055, USA.
Michele F M Sciacca
Jeffrey R Brender
Ayyalusamy Ramamoorthy

Funding

Supplement: Investigation of Membrane-Bound Cytochromes-P450-b5 InteractionsR01GM084018 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAMAMOORTHY, AYYALUSAMY · 2009 to 2018
$3.8M
Rapid and efficient production of functional Cytochrome P450 enzymatic complex foR01GM095640 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAMAMOORTHY, AYYALUSAMY · 2010 to 2013
$1.3M
NIGMS NIH HHS R01 GM084018NIGMS NIH HHS R01 GM095640
6 · The paper itself

Abstract

The activity of antimicrobial peptides has been shown to depend on the composition of the target cell membrane. The bacterial selectivity of most antimicrobial peptides has been attributed to the presence of abundant acidic phospholipids and the absence of cholesterol in bacterial membranes. The high amount of cholesterol present in eukaryotic cell membranes is thought to prevent peptide-induced membrane disruption by increasing the cohesion and stiffness of the lipid bilayer membrane. While the role of cholesterol on an antimicrobial peptide-induced membrane disrupting activity has been reported for simple, homogeneous lipid bilayer systems, it is not well understood for complex, heterogeneous lipid bilayers exhibiting phase separation (or "lipid rafts"). In this study, we show that cholesterol does not inhibit the disruption of raft-containing 1,2-dioleoyl-sn-glycero-3-phosphocholine:1,2-dipalmitoyol-sn-glycero-3-phosphocholine model membranes by four different cationic antimicrobial peptides, MSI-78, MSI-594, MSI-367 and MSI-843 which permeabilize membranes. Conversely, the presence of cholesterol effectively inhibits the disruption of non-raft containing 1,2-dioleoyl-sn-glycero-3-phosphocholine or 1,2-dipalmitoyol-sn-glycero-3-phosphocholine lipid bilayers, even for antimicrobial peptides that do not show a clear preference between the ordered gel and disordered liquid-crystalline phases. Our results show that the peptide selectivity is not only dependent on the lipid phase but also on the presence of phase separation in heterogeneous lipid systems.

Indexed as

Antimicrobial Cationic PeptidesCell MembraneCholesterolLipid BilayersMembrane MicrodomainsPeptidesAntimicrobial Cationic PeptidesCholesterolLipid BilayersMSI 594Peptidespexiganan

Identifiers

PMID22885355
PMCPMC3455134

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.